Dear Numpy users,
I have to solve for Z in the following equation Z^(-1) = A^(-1) - B^(-1),
where A and B are covariance matrices with zero determinant.
I have never used pseudoinverse matrixes, could anybody please point to me
any cautions I have to take when solving this equation for Z? The brute
force approach linalg.pinv( linalg.pinv(A) - lingal.pinv(B) ) gives me a
matrix with all entries equal to 'infinity'.
-Jose Borreguero
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